Description

Book Synopsis

An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language

R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists is a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world.

The content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors' experience.

Readers of this introductory text will find:

  • Explanations of statistical concepts in simple, easy-to-understand language
  • A variety of approaches to problem solving using both base R and tidyverse

Rticulate

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    A Hardback by Martin Bader

    £81.86

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    RRP £90.95 – you save £9.09 (9%)

    Order before 4pm today for delivery by Thu 26 Nov 2026.

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      Book details

      Publisher John Wiley & Sons Inc
      Published 6/26/2024
      ISBN-13 9781119717997
      978-1119717997
      ISBN-10 111971799X
      Also in:
      Mathematics Mathematics and Science

      Description

      Book Synopsis

      An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language

      R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists is a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world.

      The content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors' experience.

      Readers of this introductory text will find:

      • Explanations of statistical concepts in simple, easy-to-understand language
      • A variety of approaches to problem solving using both base R and tidyverse

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